Skip to main content
Log in

An optimization approach for planning daily drayage operations

  • Published:
Central European Journal of Operations Research Aims and scope Submit manuscript

Abstract

Daily drayage operations involve moving loaded or empty equipment between customer locations and rail ramps. Our goal is to minimize the cost of daily drayage operations in a region on a given day. Drayage orders are generally pickup and delivery requests with time windows. The repositioning of empty equipment may also be required in order to facilitate loaded movements. The drayage orders are satisfied by a heterogeneous fleet of drivers. Driver routes must satisfy various operational constraints. We present an optimization methodology for finding cost-effective schedules for regional daily drayage operations. The core of the formulation is a set partitioning model whose columns represent routes. Routes are added to the formulation by column generation. We present numerical results for real-world data which demonstrate that our methodology produces low cost solutions in a reasonably short time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. N. Ascheuer, M. Fischetti, and M. Grötschel. A polyhedral study of the asymmetric traveling salesman problem with time windows. Networks, 36(2):69–79, 2000.

    Article  Google Scholar 

  2. C. Barnhart, E. L. Johnson, G. L. Nemhauser, M. W. P. Savelsbergh, and P. H. Vance. Branch-and-price: column generation for solving huge integer programs. Operations Research, 46(3):316–329, 1998.

    Google Scholar 

  3. M. Desrochers, J. Desrosiers, and M. Solomon. A new optimization algorithm for the vehicle routing problem with time windows. Operations Research, 40(2):342–354, 1992.

    Google Scholar 

  4. J. Desrosiers, Y. Dumas, M. M. Solomon, and F. Soumis. Time Constrained Routing and Scheduling. In M. O. Ball et al. (ed.) Network Routing, Elsevier Science, 1995.

    Google Scholar 

  5. Y. Dumas, J. Desrosiers, and F. Soumis. The pickup and delivery problem with time windows. European Journal of Operational Research, 54:7–22, 1991.

    Article  Google Scholar 

  6. ILOG, Inc. ILOG CPLEX 9.0 User's Manual, 2003.

  7. C. Macharis and Y. M. Bontekoning. Opportunities for OR in intermodal freight transport research: A review. European Journal of Operational Research, 153(2):400–416, 2004.

    Article  Google Scholar 

  8. E. K. Morlok and L. N. Spasovic. Redesigning rail-truck intermodal drayage operations for enhanced service and cost performance. Transportation Research Forum, 34:16–31, 1994.

    Google Scholar 

  9. G. L. Nemhauser and L. A. Wolsey. Integer and Combinatorial Optimization. John Wiley & Sons, Inc., 1999.

  10. M. Savelsbergh and M. Sol. Drive: Dynamic routing of independent vehicles. Operations Research, 46:474–490, 1998.

    Article  Google Scholar 

  11. K. Smilowitz. Multi-resource routing with flexible tasks: an application in drayage operations. Working Paper 03-001, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, USA, October 2003. Available at http://www.iems.northwestern.edu/images/PDF/WP_03_001.pdf

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ileri, Y., Bazaraa, M., Gifford, T. et al. An optimization approach for planning daily drayage operations. cent.eur.j.oper.res. 14, 141–156 (2006). https://doi.org/10.1007/s10100-006-0165-6

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10100-006-0165-6

Keywords

Navigation